pip install build
pip install wheel
pip install requests
python -m buildseek the folder '\dist\aps_sdk-1.0.0-py3-none-any.whl' and install
pip install '\dist\aps_sdk-1.0.0-py3-none-any.whl'from model_derivative import auth
from model_derivative import buckets_oss
from model_derivative import buckets_objects_oss
from model_derivative import meta_dataobjAuthForge = auth.authForge(clientId=os.environ.get('_CLIENT_ID_FORGE_'),
clientSecret=os.environ.get('_CLIENT_SECRET_FORGE_'),
url=os.environ.get('_URL_API_FORGE_'))Explore the token
token = objAuthForge.getToken()lorem lorem lorem lorme lorem lorem ore
buckets_oss.BucketsOss.create_bucket(url_api="https://developer.api.autodesk.com/"
,token=token
,bucket_name='000espaciotest'
,policyKey='persistent'
,access='full')buckets_oss.BucketsOss.get_bukets(api_url='https://developer.api.autodesk.com/',
token=token,region='US',
limit=0,
startAt=0) buckets_oss.BucketsOss.get_bukets_details(api_url='https://developer.api.autodesk.com/',
token=token,region='US',
bucketKey='000espaciotest')buckets_oss.BucketsOss.delete_bukets(
api_url='https://developer.api.autodesk.com/',
token=token,region='US',
bucketKey='000espaciotest')lorem lorem lorem lorem loremlrem
filepath = '/Users/armand/Documents/httdocs/Librerias/forge_sdk/HT-ELEC-001_PG.rvt'
filename = 'HT-ELEC-001_PG.rvt'
bucketKey = '000espaciotest'
buckets_objects_oss.BucketsObjects.uploadSmallModel(api_url='https://developer.api.autodesk.com/',
file_name=filename,
path_rtv=filepath,
objectId=bucketKey,
token=token)buckets_objects_oss.BucketsObjects.bucketKeyObjects(api_url="https://developer.api.autodesk.com/",
token=token,
bucketKey='000espaciotest',
region='US',
limit=0,
startAt='')lorel lore lore mlorem lroem lroem
object_urn = 'lorellroem lorem lorem lorem lorem lorem'
info_model = meta_data.ManageMetaData()
info_model.metaData(api_url='https://developer.api.autodesk.com/',
token=token,
urn=object_urn,
guid=''){
'data': {
'type': 'metadata',
'metadata': [
{
'name': '{3D}', 👈
'role': '3d',
'guid': 'Ac1d49988-b216-67b2-31eb' 👈
},
{
'name': 'ARQ CUTS',
'role': '2d',
'guid': 'AAA1ad404e49730-76e7457fa0ab'
}
]
}
}
guid_3d = 'Ac1d49988-b216-67b2-31eb'
info_model.createObjectTreeSqlLite(api_url='https://developer.api.autodesk.com/',
token=token,
urn=object_urn,
guid=data_guid_3,
sqllite_db_name='autodesk.wabi.db',
sqllite_path='/Users/armand/Documents/httdocs/Librerias/aps_sdk/csv/db')tree_json = info_model.getObjectTreeSqlLite(sqllite_db_name='autodesk.wabi.db',
sqllite_path='/Users/armand/Documents/httdocs/Librerias/aps_sdk/csv/db')JSON
[
{
"name": "Pads",
"objectid": 462,
"children": [
{
"name": "Pad",
"objectid": 81334,
"children": [
{
"name": "BC_PLATAFORMA TERRENO WABI",
"objectid": 81336,
"children": [
{
"name": "Pad",
"objectid": 3494,
"children": []
},
{
"name": "Pad",
"objectid": 3493,
"children": []
}
]
},
{
"name": "BC_Plataforma de construcci\u00f3n",
"objectid": 81335,
"children": [
{
"name": "Pad",
"objectid": 11292,
"children": []
}
]
}
]
}
]
}
] 
This query get the properties by objectid [4269,438]
{
"query": {
"$in": [ "objectid",4269,438]
},
"fields": [
"objectid",
"name",
"externalId",
"properties.Cons*"
],
"pagination": {
"offset": 0,
"limit": 20
},
"payload": "text"
}This query use init in the payload unit - Applies a filter and returns only the properties that contain numerical values. Additionally, it formats property values as ##<VALUE_OF_PROPERTY><UNIT_OF_VALUE><SYSTEM_UNIT>. For example ##94.172{mm}[3]{m}, where 94.172 is the value of the property, {mm} is the unit of the value, [3] is the precision, and {m} is the metric base unit for the measurement.
{
"query": {
"$in": [
"objectid",
4269,
438
]
},
"fields": [
"objectid",
"name",
"externalId",
"properties.Cons*"
],
"pagination": {
"offset": 0,
"limit": 20
},
"payload": "unit"
}This example retrieves an object by its name and retrieves all properties that belong to the Construction category. Note that the string to match is in lower case, while the actual name is in title case. The case insensitive matching finds the correct object. This example uses a Revit model translated to SVF/SVF2. Among the models you can produce with Autodesk products, Revit models contain the richest set of metadata.
{
"query": {
"$eq": [
"name",
"timber suspended floor"
]
},
"fields": [
"objectid",
"name",
"externalId",
"properties.Construction.*"
],
"pagination": {
"offset": 0,
"limit": 20
},
"payload": "text"
}This example retrieves objects with “Floor” in its name and retrieves all properties that begin with “type”. Note the use of the wildcard * to return properties regardless of the category of the property. This example uses a Revit model translated to SVF/SVF2. Among the models you can produce with Autodesk products, Revit models contain the richest set of metadata.
{
"query": {
"$prefix": [
"name",
"floor"
]
},
"fields": [
"objectid",
"name",
"externalId",
"properties.*.type*"
],
"pagination": {
"offset": 0,
"limit": 20
},
"payload": "text"
}object_urn = 'dXJuOmFkc2sub2JqZWN0czpvAAAAAA'
gui_3d = 'b216-67b2-31eb-cc8ebde9f8ce'
info_properties = meta_data.ManageMetaData()
info_properties.saveElementesPropertiesSqlLite(api_url='https://developer.api.autodesk.com/',
token=token,
urn=object_urn,
guid=gui_3d,
objects_ids=[3494,3493,11292],
sqllite_db_name='autodesk.wabi.db',
sqllite_path='/Users/armand/Documents/httdocs/Librerias/aps_sdk/csv/db')
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